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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 9470
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    Explanations

    names of individuals and their associated familial relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    with capitalized second letter

    np_acts-logits-general · gemini-2.0-flash

    names with multiple parts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vectorielles
    -0.60
     fermée
    -0.59
    deutig
    -0.55
    protetor
    -0.55
     dentaire
    -0.51
     Gegenteil
    -0.51
     manguera
    -0.51
     vectorielle
    -0.50
    Демографія
    -0.50
     toalla
    -0.50
    POSITIVE LOGITS
    -
    0.88
     Smith
    0.49
    Chham
    0.47
     Johnson
    0.46
     Khan
    0.43
     Zhang
    0.43
     Mango
    0.42
     Lampard
    0.41
    maxcdn
    0.41
     Sch
    0.41
    Activations Density 0.252%

    No Known Activations